Dispersive liquid–liquid microextraction in food analysis. A critical review

An extensive critical evaluation of the application of dispersive liquid–liquid microextraction (DLLME) combined with chromatographic and atomic-spectroscopic methods for the determination of organic and inorganic compounds is presented. The review emphasizes the procedures used for the prior treatment of food samples, which are very different from the DLLME procedures generally proposed for water samples. The main contribution of this work in the field of DLLME reviews is its critical review of the abundant literature showing the increasing interest and practical advantages of using DLLME and closely related microextraction techniques for food analysis.     

Novel architectures in porous materials based on clays

Modification of layered clays in view to develop porous materials, mainly for catalytic applications, has been afforded in the past via intercalation reaction of aluminum and other polyoxycations or through generation of mesoporous silica between the layers of the silicate. In this paper it is introduced examples of an alternative route for the preparation of porous nanoarchitectures based on the sol–gel method that profits from the swelling ability of organoclays in organic solvents to incorporate silicon and/or other metal (e.g., Ti, Al,…) alkoxides in the interlayer region of the silicates where they are hydrolyzed in a controlled manner. Their further polycondensation originates the formation of an oxide matrix and after a thermal treatment is possible the consolidation of oxide nanoparticles between delaminated smectites and vermiculites. It is also showed how this colloidal route can be applied to the generation of oxide nanoparticles bonded to the external surface of fibrous clays, such as sepiolite. Finally, it is also summarized with various examples the potential interest of the resulting porous clay nanoarchitecture materials in applications as acid catalysts, photocatalysts or nanofillers in polymer–clay nanocomposites.     

Validation of multivariate screening methodology. Case study: Detection of food fraud

Multivariate screening methods are increasingly being implemented but there is no worldwide harmonized criterion for their validation. This study contributes to establish protocols for validating these methodologies. We propose the following strategy: (1) Establish the multivariate classification model and use receiver operating characteristic (ROC) curves to optimize the significance level (α) for setting the model’s boundaries. (2) Evaluate the performance parameter from the contingency table results and performance characteristic curves (PCC curves). The adulteration of hazelnut paste with almond paste and chickpea flour has been used as a case study. Samples were analyzed by infrared (IR) spectroscopy and the multivariate classification technique used was soft independent modeling of class analogies (SIMCA). The ROC study showed that the optimal α value for setting the SIMCA boundaries was 0.03 in both cases. The sensitivity value was 93%, specificity 100% for almond and 98% for chickpea, and efficiency 97% for almond and 93% for chickpea.     

Fatty acid profile of different species of algae of the Cystoseira genus: a nutraceutical perspective

The fatty acid (FA) composition of six macroalgae from the Cystoseira genus, namely Cystoseira compressa, Cystoseira humilis, Cystoseira tamariscifolia, Cystoseira nodicaulis, Cystoseira baccata and Cystoseira barbata, was determined. Polyunsaturated fatty acids (PUFA) corresponded to 29–46% of the total FA detected. C. compressa, C. tamariscifolia and C. nodicaulis stood out for their low PUFA/saturated fatty acid, low n-6 PUFA/n-3 PUFA ratios as well as favourable unsaturation, atherogenicity and thrombogenicity indices, suggesting a high nutritional value with potential applications in the nutraceutical industry.     

State of the art survey on MRI brain tumor segmentation

Brain tumor segmentation consists of separating the different tumor tissues (solid or active tumor, edema, and necrosis) from normal brain tissues: gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). In brain tumor studies, the existence of abnormal tissues may be easily detectable most of the time. However, accurate and reproducible segmentation and characterization of abnormalities are not straightforward. In the past, many researchers in the field of medical imaging and soft computing have made significant survey in the field of brain tumor segmentation. Both semiautomatic and fully automatic methods have been proposed. Clinical acceptance of segmentation techniques has depended on the simplicity of the segmentation, and the degree of user supervision. Interactive or semiautomatic methods are likely to remain dominant in practice for some time, especially in these applications where erroneous interpretations are unacceptable. This article presents an overview of the most relevant brain tumor segmentation methods, conducted after the acquisition of the image. Given the advantages of magnetic resonance imaging over other diagnostic imaging, this survey is focused on MRI brain tumor segmentation. Semiautomatic and fully automatic techniques are emphasized.     

Sulfoxidations in the solid phase

The asymmetric oxidation of a sulfide in the solid phase using two distinct scaffolds as models is described.     

Indirect competitive immunoassay for trichlorophenol determination: Rational evaluation of the competitor heterology effect

An improved competitive indirect immunoassay for the detection of 2,4,6-trichlorophenol (2,4,6-TCP) has been developed and optimized by preparing heterologous haptens that have been evaluated as coating antigens. The relation between the degree of heterology and immunoassay detectability has been investigated according to the geometric and electronic distribution similarities between the haptens and the analyte using molecular modeling tools. The assay has been characterized according to different physicochemical parameters such as the incubation time, the ionic strength, the effect of detergents and the pH. The resulting assay has an IC₅₀ of 1.44 μg l⁻¹ and a limit of detection (LOD) of 0.2 μg l⁻¹ and it shows a good accuracy and suitability to analyze trichlorophenol in drinking water.